The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing (AVE)
Source: https://arxiv.org/abs/2207.09812
Structured fields
{
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Over 1.5M cinematography-related tags across 196,176 movie-scene shots with benchmark tasks for footage organization and assisted assembly; the closest public substrate for measuring editing rhythm and shot attributes at scale.",
"source_type": "paper",
"availability": "available",
"source_owner": "Argaw, Caba Heilbron, Lee, Woodson, Kweon",
"next_check_at": "2026-11-16T00:00:00.000Z",
"upstream_updated_at": "2022-07-21T00:00:00.000Z"
}Evidence claims
- [upstream_claim] Annotated over 1.5 million cinematography-related tags across 196,176 shots from movie scenes; baseline methods for each task. · locator: abstract source
- [sourced_fact] Code at github.com/dawitmureja/AVE; paper licensed CC BY 4.0 on arXiv. · locator: abstract page links and license source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | CC-BY-4.0 | permitted | permitted | permitted | unknown | CC BY 4.0 applies to the paper; code and dataset licenses were not inspected. |
| dataset | unknown | unknown | unknown | unknown | unknown | Repository not inspected. |